A Maximum Entropy Approach to Natural Language Processing
by A. L. Berger, S. A. Della Pietra, V. J. Della Pietra
Publisher: Association for Computational Linguistics 1996
Number of pages: 36
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently, using as examples several problems in natural language processing.
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by A. Aliseda, R. van Glabbeek, D. Westerstahl - CSLI
This book pursues the recent research in the interface of logic, language and computation, with applications to artificial intelligence and machine learning. It contains contributions to the logical and computational analysis of natural language.
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